Dual‐Modal Fluorescence‐SERS Detection of Blood Glucose Engineered by Hierarchical Laser‐Induced Micro/Nano Structures for Diabetes Screening

Lu, Lihua; Guan, Sheng; Hong, Minghui

doi:10.1002/admi.202102532

Cited by 6 publications

(3 citation statements)

References 58 publications

(62 reference statements)

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“…It was also shown to achieve a lower LOD than radioimmunoassay (RIA) and ELISA in a different study [ 406 ]. In a recent study, SERS was compared with a clinically available method for quantification of glucose in blood sugar and shown to perform equally good [ 407 ]. It was found that SERS is 16-to-32-times more sensitive than the commercial lateral flow assay and >400-times more sensitive than the ELISA with the same reagents for the detection of covid [ 264 ].…”

Section: Conclusion and Scopementioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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Section: Conclusion and Scopementioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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“…This is primarily due to the fact that SERS is a near-field phenomenon based on intense electromagnetic field enhancement occurring within plasmonic gaps, a process highly influenced by the local topography and uniformity of nanostructures. Achieving both strong sensitivity and high reproducibility in SERS measurements is a complex task, and only a limited number of substrates, prepared through intricate processes, have managed to achieve this goal. ,,− The preparation of such substrates typically necessitates the use of nanoscale-precision instruments, which hinders large-scale and cost-effective commercial production. Consequently, there is an ongoing need to explore more convenient strategies that can improve the analysis and quantification of SERS signals.…”

Section: Introductionmentioning

confidence: 99%

Dual-Probe SERS Nanosensor: A Promising Approach for Sensitive and Ratiometric Detection of Glucose in Clinical Settings

Li,

Zhang,

Sun

et al. 2024

ACS Appl. Bio Mater.

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Diabetes is a major global health concern, with millions of annual deaths. Monitoring glucose levels is vital for clinical management, and urine samples offer a noninvasive alternative to blood samples. Optical techniques for urine glucose sensing have gained notable traction due to their cost-effectiveness and portability. Among these methods, surface-enhanced Raman spectroscopy (SERS) has attracted considerable attention thanks to its remarkable sensitivity and multiplexing capabilities. However, challenges remain in achieving reliable quantification through SERS. In this study, an alternative approach is proposed to enhance quantification involving the use of dual probes. Each probe is encoded with unique SERS signatures strategically positioned in the biologically silent region. One probe indicates the glucose presence, while the other acts as an internal reference for calibration. This setup enables ratiometric analysis of the SERS signal, directly correlating it with the glucose concentration. The fabrication of the sensor relies on the prefunctionalization of Fe sheets using an aryl diazonium salt bearing a –CCH group (internal reference), followed by the immobilization of Ag nanoparticles modified with an aryl diazonium salt bearing a –B(OH)2 group (for glucose capture). A secondary probe bearing a –B(OH)2 group on one side and a –CN group on the other side enables the ratiometric analysis by forming a sandwich-like structure in the presence of glucose (glucose indicator). Validation studies in aqueous solutions and artificial urine demonstrated the high spectral stability and the potential of this dual-probe nanosensor for sensitive glucose monitoring in clinical settings.

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“…6 The proposed system was recently applied for dual-modal detection of blood glucose with 2 × 10 6 and 25 fold enhancement factors, respectively. 7 Another group demonstrated that triangular wrinkles of a nanostructured Ag film obtained by Ag sputtering on a strained polydimethylsiloxane (PDMS) substrate can act as effective SERS and SEF enhancers for the detection of Crystal Violet and Rhodamine-6G at concentrations as low as 10 −14 M. 8 Besides the use of patterned films with plasmonic enhancement properties, such effects can also be obtained by growth or by deposition of nanoparticles on substrates. Specifically, through the controlled growth of gold nanoparticles on silicon wafers, the detection of Rhodamine B was achieved via SERS and SEF, with a variable output depending on the particle size and density.…”

Section: Introductionmentioning

confidence: 99%

Self-assembled PVP-gold nanostar films as plasmonic substrates for surface-enhanced spectroscopies: influence of the polymeric coating on the enhancement efficiency

Tătar

Boca

Fălămaș

et al. 2023

Analyst

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Dual‐Modal Fluorescence‐SERS Detection of Blood Glucose Engineered by Hierarchical Laser‐Induced Micro/Nano Structures for Diabetes Screening

Abstract: Figure 8. Potential medical applications for the proposed dual-modal SERS/SEF platform.

Cited by 6 publications

References 58 publications

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Dual-Probe SERS Nanosensor: A Promising Approach for Sensitive and Ratiometric Detection of Glucose in Clinical Settings

Self-assembled PVP-gold nanostar films as plasmonic substrates for surface-enhanced spectroscopies: influence of the polymeric coating on the enhancement efficiency

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